Analysis of microplastics of a broad size range in commercially important mussels by combining FTIR and Raman spectroscopy approaches

Titelangaben

Kumar, Vinay B. N. ; Löschel, Lena A. ; Imhof, Hannes ; Löder, Martin G. J. ; Laforsch, Christian:
Analysis of microplastics of a broad size range in commercially important mussels by combining FTIR and Raman spectroscopy approaches.
In: Environmental Pollution. Bd. 269 (2021) . - 116147.
ISSN 1873-6424
DOI: https://doi.org/10.1016/j.envpol.2020.116147

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Abstract

Microplastic (MP) contamination is present in the entire marine environment from the sediment to the water surface and down to the deep sea. This ubiquitous presence of MP particles opens the possibility for their ingestion by nearly all species in the marine ecosystem. Reports have shown that MP particles are present in local commercial seafood species leading to the possible human ingestion of these particles. However, due to a lack of harmonized methods to identify microplastics (MPs), results from different studies and locations can hardly be compared. Hence, this study was aimed to detect, quantify, and estimate MP contamination in commercially important mussels originating from 12 different counties distributed worldwide. All mussels were obtained from supermarkets and were intended for human consumption. Using a combinatorial approach of focal plane array (FPA)-based micro- Fourier-transform infrared (FTIR) spectroscopy and micro-Raman spectroscopy allowed the detection and characterization of MP down to a size of 3mm in the investigated mussels. Further, a gentle sample purification method based on enzymes has been modified in order to optimize the digestion of organic material in mussels. A random forest classification (RFC) approach, which allows rapid discrimination between different polymer types and thus fast generation of data on MP abundance and size distributions with high accuracy, was implemented in the analytical pipeline for IR spectra. Additionally, for the first time, we also applied a RFC approach for the automated characterization of Raman spectra of MPs.